articleResearch Synthesis MethodsAug 14, 2013Closed access

Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and spss

Vanderbilt University · Columbia University

PubMed
Indexed incrossrefpubmed

Abstract

Methodologists have recently proposed robust variance estimation as one way to handle dependent effect sizes in meta-analysis. Software macros for robust variance estimation in meta-analysis are currently available for Stata (StataCorp LP, College Station, TX, USA) and spss (IBM, Armonk, NY, USA), yet there is little guidance for authors regarding the practical application and implementation of those macros. This paper provides a brief tutorial on the implementation of the Stata and spss macros and discusses practical issues meta-analysts should consider when estimating meta-regression models with robust variance estimates. Two example databases are used in the tutorial to illustrate the use of meta-analysis…

Citation impact

579
total citations
FWCI
14.83
Percentile
100%
References
27
Citations per year

Authors

2

Topics & keywords

Keywords
  • Macro
  • Variance (accounting)
  • Computer science
  • IBM
  • Software
  • Estimation
  • Meta-analysis
  • Statistics
No related works found for this paper.